MR Optimum: A web-based open-source tool for standardized signal-to-noise ratio evaluation in MRI [0.03%]
基于网络的开放式工具MR Optimum用于磁共振成像中标准信号噪声比的评估
Eros Montin,Xuan Thao Nguyen,Riccardo Lattanzi
Eros Montin
Signal-to-noise ratio (SNR) is a key performance metric in magnetic resonance imaging (MRI) to evaluate pulse sequences, receive coils, and image reconstruction algorithms. A variety of methods have been proposed to estimate SNR. However, t...
Retraction notice to "Healthcare strategies and initiatives about COVID19 in Pakistan: Telemedicine a way to look forward" [Computer Methods and Programs in Biomedicine Update, Volume 1, 2021, 100008] [0.03%]
有关“巴基斯坦关于COVID19的医疗保健策略和倡议：展望远程医疗”的撤稿通知[计算机方法与生物医学程序更新，2021，100008]
Ayesha Humayun,Syed Shahabuddin,Saira Afzal et al.
Ayesha Humayun et al.
[This retracts the article DOI: 10.1016/j.cmpbup.2021.100008.]. ©2025 The Authors. Published by Elsevier B.V.
Interpretable machine learning text classification for clinical computed tomography reports - a case study of temporal bone fracture [0.03%]
一种针对临床CT报告的解释性机器学习文本分类方法——以颞骨骨折为例
Tong Ling,Luo Jake,Jazzmyne Adams et al.
Tong Ling et al.
Background: Machine learning (ML) has demonstrated success in classifying patients' diagnostic outcomes in free-text clinical notes. However, due to the machine learning model's complexity, interpreting the mechanism behi...
Harnessing laboratory data for poliovirus eradication: contributions of the Africa regional polio laboratory data management team, 2022 - 2024 [0.03%]
利用实验室数据助力消灭脊灰病毒：非洲区域脊灰实验室数据管理工作队的贡献（2022-2024年）
Brook Tesfaye,Reggis Katsande,Doungmo Wakem Yannick Arthur et al.
Brook Tesfaye et al.
Background and objectives: Polio laboratory data is crucial in providing timely and accurate information on poliovirus outbreaks and therefore an important component of the overall poliovirus eradication strategies. This ...
Rianú: Multi-tissue tracking software for increased throughput of engineered cardiac tissue screening [0.03%]
高效筛选工程心脏组织的多组织追踪软件Rianú
Jack F Murphy,Kevin D Costa,Irene C Turnbull
Jack F Murphy
Background: The field of tissue engineering has provided valuable three-dimensional species-specific models of the human myocardium in the form of human Engineered Cardiac Tissues (hECTs) and similar constructs. However, ...
Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records [0.03%]
基于电子健康档案评估可用风险评分预测2型糖尿病患者多种心血管并发症的风险能力
Joyce C Ho,Lisa R Staimez,K M Venkat Narayan et al.
Joyce C Ho et al.
Aims: Various cardiovascular risk prediction models have been developed for patients with type 2 diabetes mellitus. Yet few models have been validated externally. We perform a comprehensive validation of existing risk mod...
Development of a mobile tele-education system to assist remote otolaryngology learning during COVID-19 pandemic [0.03%]
开发用于远程耳鼻喉科学习的移动远程教育系统以应对COVID-19疫情
Te-Yung Fang,Su-Yi Hsu,Jun-Ming Su et al.
Te-Yung Fang et al.
Background: Developing clinical thinking competence (CTC) is crucial for physicians, but effective methods for cultivation and evaluation are a significant challenge. Classroom teaching and paper-and-pencil tests are insu...
Arfan Ahmed,Sarah Aziz,Mahmood Alzubaidi et al.
Arfan Ahmed et al.
Background: The rates of mental health disorders such as anxiety and depression are at an all-time high especially since the onset of COVID-19, and the need for readily available digital health care solutions has never be...
Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach [0.03%]
预测COVID-19死亡率风险的变化：循环神经网络的方法
Marta Villegas,Aitor Gonzalez-Agirre,Asier Gutiérrez-Fandiño et al.
Marta Villegas et al.
Background: In December 2020, the COVID-19 disease was confirmed in 1,665,775 patients and caused 45,784 deaths in Spain. At that time, health decision support systems were identified as crucial against the pandemic. ...
Fitness dependent optimizer with neural networks for COVID-19 patients [0.03%]
用于COVID-19患者的基于适应度依赖优化器和神经网络的方法
Maryam T Abdulkhaleq,Tarik A Rashid,Bryar A Hassan et al.
Maryam T Abdulkhaleq et al.
The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected the global health and become a huge burden on health institutions all over the world. These effects are continuing today. One strategy for limit...